Algorithm for predicting abnormal blood pressure causing cerebral apoplexy based on big data and artificial intelligence

An artificial intelligence, stroke technology, applied in the fields of medical data mining, computer-aided medical procedures, medical simulation, etc., can solve the problem of unable to capture the physiological output of complex biological changes in hypertensive patients, and achieve the effect of preventing stroke

Pending Publication Date: 2020-07-28
深圳阿拉丁医疗科技有限公司
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Problems solved by technology

This results in an inability to capture complex biological changes and consistent physiological output in hypertensive patients

Method used

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  • Algorithm for predicting abnormal blood pressure causing cerebral apoplexy based on big data and artificial intelligence
  • Algorithm for predicting abnormal blood pressure causing cerebral apoplexy based on big data and artificial intelligence
  • Algorithm for predicting abnormal blood pressure causing cerebral apoplexy based on big data and artificial intelligence

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Embodiment Construction

[0022] To further illustrate the various embodiments, the present invention is provided with accompanying drawings. These drawings are a part of the disclosure of the present invention, which are mainly used to illustrate the embodiments, and can be combined with related descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, those skilled in the art should understand other possible implementations and advantages of the present invention. Components in the figures are not drawn to scale, and similar component symbols are generally used to denote similar components.

[0023] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as figure 1 As shown, an algorithm based on big data and artificial intelligence to predict blood pressure abnormalities leading to stroke was developed with two different data sources: (1) a retrospective ...

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Abstract

The invention discloses an algorithm for predicting abnormal blood pressure causing cerebral apoplexy based on big data and artificial intelligence, and relates to the technical field of blood pressure prediction. The method comprises the following steps: (1) preparing an available clinical database containing arterial pressure waveforms, and training; (2) marking periods of hypotension and non-hypotension in the database to serve as a training data set; (3) processing the arterial pressure waveforms to extract waveform features; and (4) mapping the waveform features to predict the hypotensionevent by using the training data. According to the invention, based on the high-fidelity arterial pressure waveforms, the blood pressure is predicted through the machine learning algorithm, the machine learning is applied to the arterial pressure waveform, the algorithm for predicting the blood pressure is created, the blood pressure change is accurately predicted, and the early warning functionis provided under the condition that the blood pressure is abnormal, so that cerebral apoplexy is effectively prevented.

Description

technical field [0001] The present invention relates to the technical field of blood pressure prediction, in particular to an algorithm based on big data and artificial intelligence to predict blood pressure abnormalities leading to cerebral apoplexy. Background technique [0002] On average, one person dies of stroke every 16 seconds, and the age of stroke continues to advance. Among young and middle-aged people aged 15-49, stroke is also one of the important causes of death. Cerebral stroke is a group of diseases with cerebral ischemia and hemorrhagic injury symptoms as the main clinical manifestations, also known as stroke or cerebrovascular accident, with a very high mortality rate and disability rate, mainly divided into hemorrhagic stroke ( Cerebral hemorrhage or subarachnoid hemorrhage) and ischemic stroke (cerebral infarction, cerebral thrombosis), with cerebral infarction being the most common. Cerebral stroke is one of the most important fatal diseases in the worl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/50G16H50/70
CPCG16H50/50G16H50/70
Inventor 范芳芳何戈文
Owner 深圳阿拉丁医疗科技有限公司
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